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基于蚁群算法的短波侦收资源调度方法研究

刘洋 王伦文

计算机应用研究2017,Vol.34Issue(12):3784-3787,3800,5.
计算机应用研究2017,Vol.34Issue(12):3784-3787,3800,5.DOI:10.3969/j.issn.1001-3695.2017.12.060

基于蚁群算法的短波侦收资源调度方法研究

Method of resource scheduling for HF cooperative reception based on ant colony optimization algorithm

刘洋 1王伦文1

作者信息

  • 1. 中国人民解放军电子工程学院,合肥230037
  • 折叠

摘要

Abstract

The consuming time of high frequency (HF) reception is long and the efficiency is not high.In view of this situation,the optimal probability for HF reception was taken as the objective function according to the constraint conditions.This paper proposed a new method based on improved ant colony optimization (ACO) algorithm.It optimized the parameter values of the improved ACO algorithm based on particle swarm optimization (PSO) thought,presented the new pheromone update method,which combined the global asynchronous feature and elitist strategy so that the algorithm had a stronger ability to optimize and better operation speed.The algorithm not only improved the system resource utilization,but also determined the optimal scheduling scheme quickly.The results show the feasibility and the effectiveness of the proposed method.

关键词

短波侦收/协同侦收/资源调度/蚁群算法

Key words

HF reception/cooperative reception/resource scheduling/ant colony optimization algorithm

分类

信息技术与安全科学

引用本文复制引用

刘洋,王伦文..基于蚁群算法的短波侦收资源调度方法研究[J].计算机应用研究,2017,34(12):3784-3787,3800,5.

基金项目

国家自然科学基金资助项目(61273302) (61273302)

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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